package logistic.machineLearning;

public class TrainSet {

	public float[][] datas = new float[12][2];
	public float[] labels = new float[12];

	public TrainSet() {
		datas[0][0] = (float) -0.017612;
		datas[0][1] = (float) 14.053064;
		labels[0] = 0;
		datas[1][0] = (float) -1.395634;
		datas[1][1] = (float) 4.662541;
		labels[1] = 1;
		datas[2][0] = (float) -0.752157;
		datas[2][1] = (float) 6.538620;
		labels[2] = 0;
		datas[3][0] = (float) -1.322371;
		datas[3][1] = (float) 7.152853;
		labels[3] = 0;
		datas[4][0] = (float) 0.423363;
		datas[4][1] = (float) 11.054677;
		labels[4] = 0;
		datas[5][0] = (float) 0.406704;
		datas[5][1] = (float) 7.067335;
		labels[5] = 1;
		datas[6][0] = (float) 0.667394;
		datas[6][1] = (float) 12.741452;
		labels[6] = 0;
		datas[7][0] = (float) -2.460150;
		datas[7][1] = (float) 6.866805;
		labels[7] = 1;
		datas[8][0] = (float) 0.569411;
		datas[8][1] = (float) 9.548755;
		labels[8] = 0;
		datas[9][0] = (float) -0.026632;
		datas[9][1] = (float) 10.427743;
		labels[9] = 0;
		datas[10][0] = (float) 0.850433;
		datas[10][1] = (float) 6.920334;
		labels[10] = 1;
		datas[11][0] = (float) 1.347183;
		datas[11][1] = (float) 13.175500;
		labels[11] = 0;
	}

	// 1.176813 3.167020 1
	// -1.781871 9.097953 0
	// -0.566606 5.749003 1
	// 0.931635 1.589505 1
	// -0.024205 6.151823 1
	// -0.036453 2.690988 1
	// -0.196949 0.444165 1
	// 1.014459 5.754399 1
	// 1.985298 3.230619 1
	// -1.693453 -0.557540 1
	// -0.576525 11.778922 0
	// -0.346811 -1.678730 1
	// -2.124484 2.672471 1
	// 1.217916 9.597015 0
	// -0.733928 9.098687 0
	// -3.642001 -1.618087 1
	// 0.315985 3.523953 1
	// 1.416614 9.619232 0
	// -0.386323 3.989286 1
	// 0.556921 8.294984 1
	// 1.224863 11.587360 0
	// -1.347803 -2.406051 1
	// 1.196604 4.951851 1
	// 0.275221 9.543647 0
	// 0.470575 9.332488 0
	// -1.889567 9.542662 0
	// -1.527893 12.150579 0
	// -1.185247 11.309318 0
	// -0.445678 3.297303 1
	// 1.042222 6.105155 1
	// -0.618787 10.320986 0
	// 1.152083 0.548467 1
	// 0.828534 2.676045 1
	// -1.237728 10.549033 0
	// -0.683565 -2.166125 1
	// 0.229456 5.921938 1
	// -0.959885 11.555336 0
	// 0.492911 10.993324 0
	// 0.184992 8.721488 0
	// -0.355715 10.325976 0
	// -0.397822 8.058397 0
	// 0.824839 13.730343 0
	// 1.507278 5.027866 1
	// 0.099671 6.835839 1
	// -0.344008 10.717485 0
	// 1.785928 7.718645 1
	// -0.918801 11.560217 0
	// -0.364009 4.747300 1
	// -0.841722 4.119083 1
	// 0.490426 1.960539 1
	// -0.007194 9.075792 0
	// 0.356107 12.447863 0
	// 0.342578 12.281162 0
	// -0.810823 -1.466018 1
	// 2.530777 6.476801 1
	// 1.296683 11.607559 0
	// 0.475487 12.040035 0
	// -0.783277 11.009725 0
	// 0.074798 11.023650 0
	// -1.337472 0.468339 1
	// -0.102781 13.763651 0
	// -0.147324 2.874846 1
	// 0.518389 9.887035 0
	// 1.015399 7.571882 0
	// -1.658086 -0.027255 1
	// 1.319944 2.171228 1
	// 2.056216 5.019981 1
	// -0.851633 4.375691 1
	// -1.510047 6.061992 0
	// -1.076637 -3.181888 1
	// 1.821096 10.283990 0
	// 3.010150 8.401766 1
	// -1.099458 1.688274 1
	// -0.834872 -1.733869 1
	// -0.846637 3.849075 1
	// 1.400102 12.628781 0
	// 1.752842 5.468166 1
	// 0.078557 0.059736 1
	// 0.089392 -0.715300 1
	// 1.825662 12.693808 0
	// 0.197445 9.744638 0
	// 0.126117 0.922311 1
	// -0.679797 1.220530 1
	// 0.677983 2.556666 1
	// 0.761349 10.693862 0
	// -2.168791 0.143632 1
	// 1.388610 9.341997 0
	// 0.317029 14.739025 0

}
